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Statistical Modeling of Some Cancerous Diseases Using the Laplace Transform Approach of Basic Life Testing Issues.
Bakr, M E; Al-Babtain, Abdulhakim A; Khosa, Saima Khan.
Afiliação
  • Bakr ME; Department of Basic Science, Giza Higher Institute for Engineering, Cairo, Egypt.
  • Al-Babtain AA; Department of Statistics and Operation Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
  • Khosa SK; Department of Mathematics and Statistics University of Saskatchewan, Saskatoon, SK, Canada.
Comput Math Methods Med ; 2022: 8964869, 2022.
Article em En | MEDLINE | ID: mdl-35712001
ABSTRACT
The purpose of the nonparametric statistical test used in this study is to compare different treatment options by looking at failure behavior in recorded survival data. Patients' survival times are documented after using the proposed approach. The observed data's behavior was assumed to be based on used better than aged in the moment generating function order (UBAmgf) characteristic or a constant failure rate in this study (exponential scenario). Suppose that the survival data is UBAmgf, then the treatment or the machine or system in use produces a better or a higher expected total present value than an older machine governed by an exponential survival function; if the data is exponential, the suggested treatment strategy is ineffective (the recommended treatment approach has neither positive or negative effects on the patients). To guarantee that the suggested statistical test is used correctly, the efficiency and critical values are calculated and compared to those of other tests, and the technique is then applied to medical data.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Comput Math Methods Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Egito

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Comput Math Methods Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Egito